How to regulate evolving AI health algorithms

Artificial intelligence algorithms have had mixed success in health, in part because regulation prevents them from evolving at the necessary rate.

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Veröffentlicht in:Nature medicine Jg. 29; H. 1; S. 26
1. Verfasser: Bates, David W.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Nature Publishing Group US 01.01.2023
Nature Publishing Group
Schlagworte:
692/700/139
692/700/1538
Algorithms
Artificial Intelligence
Biomedical and Life Sciences
Biomedicine
Cancer Research
Evolution
Infectious Diseases
Metabolic Diseases
Molecular Medicine
Neurosciences
World View
ISSN:1078-8956, 1546-170X, 1546-170X
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:Artificial intelligence algorithms have had mixed success in health, in part because regulation prevents them from evolving at the necessary rate.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1078-8956
1546-170X
1546-170X
DOI:10.1038/s41591-022-02165-8